Search Results for "data collection algorithm"

Java 8+ required. Collection of tools to help generate artificial Whole Slide Images (WSIs). A WSI is stored as a ZIP archive of JPG tiles, and this software contains a tool to visualize this format. SVS files can be used directly for texture extraction (thanks to the included Bio-Formats library). Main source files in package fr.unistra.wsi.synthetic.

SDCF is an extensible and highly configurable sensor data collection framework for Android. The SDCF library provides a full configurable service to collect different sensor data (accelerometer, gsm, wifi, network and gps, light, temperature etc.) on a mobile android device. The data is stored in a local database (on the device) and can be transmitted to a remote host periodically (serialized to XML, and optionally packed into an rsa-encrypted archive). ...

[2014-10-31] This project is obsolete, for latest version (6.1.3) see GitHub https://github.com/digital-preservation/droid (source) and http://www.nationalarchives.gov.uk/information-management/manage-information/preserving-digital-records/droid/ (binary) DROID (Digital Record Object Identification) is an automatic file format identification tool. It is the first in a planned series of tools developed by The National Archives under the umbrella of its PRONOM technical registry...

Marc's Awesome Name Generator is a Java based library to allow the easy and fast generation of random first, middle and last names based on user-definded criteria, such as culture of origin or contained letters.

Desktop tool to organize your personal collection of electronic publications, in particular scientific ones. Also provides back-end libraries (Java) for access to OPF/OCF e-books, usable independently.

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.

Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.